Role overview
We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe’s largest Publishers. From women’s and celebrities’ magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France – both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people‘s everyday lives.
What you'll work on
- Develop decision‑support tools and dashboards analysing sell‑through, reach, revenue, and market trends.
- Build analytical frameworks that evolve into predictive or optimisation models.
- Support prediction and optimisation work including revenue, pricing, and inventory forecasting; listener segmentation; and ad‑scheduling.
- Contribute to A/B testing, causal inference, and uplift modelling.
- Build and maintain Tableau dashboards across revenue management, digital audio, and competitions.
- Automate reporting pipelines and promote a self‑serve analytics culture.
- Present insights clearly to technical and non‑technical audiences.
- Collaborate with commercial, digital media, revenue management, and consumer competitions teams.
- Translate business questions into data‑driven use cases such as pricing, segmentation, churn, and optimisation.
- Partner with Engineering and Platform teams to integrate models into systems.
What we're looking for
- Proven experience in data analytics or data science, ideally within media, audio, digital, or revenue‑driven environments.
- Strong experience with Python, SQL, and ML toolkits such as scikit‑learn and XGBoost.
- Experience with modern cloud data stacks (e.g., Snowflake, BigQuery).
- Comfortable working with Git, Jupyter, Airflow, and agile practices.
- Strong grounding in BI tools such as Tableau or Power BI.
- Experience with pricing, supply/demand dynamics, inventory management, or yield optimisation.
- Familiarity with modern tooling such as AutoML, vector databases, APIs, or cloud platforms.
- Strong relationship‑building skills across commercial, product, and operational teams.